Jiahong Liu

HICF: Hyperbolic Informative Collaborative Filtering

2022 · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Considering the prevalence of the power-law distribution in user-item networks, hyperbolic space has attracted considerable attention and achieved impressive performance in the recommender system recently. The advantage of hyperbolic recommendation lies in that its exponentially …

HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization

2022 · Proceedings of the ACM Web Conference 2022

In large-scale recommender systems, the user-item networks are generally scale-free or expand exponentially. For the representation of the user and item, the latent features (a.k.a, embeddings) depend on how well the embedding space matches the …